Developing, evaluating and refining novel exposure techniques.

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EHS 655: Human Exposure Analysis

Description: Students taking this course will learn how to conduct statistical analyses of human exposures, and will apply these skills to an actual dataset containing exposure and health outcome data. They will also develop skills for understanding, interpreting, and communicating exposure information and for identifying and communicating evidence-based risk management recommendations.

The lecture content of the course will describe common data analysis techniques, beginning with simple descriptive analyses and continuing through more complex regression-based approaches. The lecture content will familiarize students with the different approaches, and readings will provide examples of the application of these approaches.

The computer lab-based course content will provide students with time and a common environment in which to explore and apply these analytical techniques on a shared dataset containing human exposure and health outcome data.

The final project of the course will be a report synthesizing and describing all of the analyses conducted over the course of the semester. Students will also develop estimates of the risk of health effects associated with the exposure data analyzed in the course, and will conduct a limited literature review to evaluate whether these effects are consistent with other published risk estimates. Finally, students will develop recommendations for necessary exposure reduction strategies depending on the results of their exposure and risk analyses.

Course outcomes: After taking this course, students will be able to:

Conduct analyses of exposure and health effect data using a common statistical program (e.g., SPSS, Stata, etc)

Identify and address common limitations of exposure and health effect data